|
Andreas Mittereckerphone: +43-732-2468-4538 e-mail: [email protected] Room: S3 327 (Computer Science Building, Science Park 3) |
Personal data/education
- Born January 11, 1983
- MSc in Bioinformatics (JKU Linz), July 2012
- BSc in Statistics (JKU Linz), January 2007
Research Topics
- Self-driving cars
- Proteomics
- Microarrays
- Machine Learning
- Statistics
- Sequence analysis
Publications
- Bie Verbist, Guenter Klambauer, Liesbet Vervoort, Willem Talloen, QSTAR Consortium (... Andreas Mitterecker ...), Ziv Shkedy, Oliver Thas, Andreas Bender, Hinrich Goehlmann, Sepp Hochreiter: Using Transcriptomics to Guide Lead Optimization in Drug Discovery Projects. Drug Discovery Today (In press 2015).
- Aakash Chavan Ravindranath, Nolen Perualila-Tan, Adetayo Kasim, Georgios Drakakis, Sonia Liggi, Suzanne C. Brewerton, Daniel Mason, Michael J. Bodkin, David A. Evans, QSTAR Consortium (... Andreas Mitterecker ...), Ziv Shkedy, Andreas Bender: Connecting Gene Expression Data from Connectivity Map and In Silico Target Predictions For Small Molecule Mechanism-of-Action Analysis. Molecular BioSystems. 09/2014
- Marc Streit, Samuel Gratzl, Michael Gillhofer, Andreas Mayr, Andreas Mitterecker, Sepp Hochreiter. Furby: Fuzzy Force-Directed Bicluster Visualization. BMC Bioinformatics. 15(Suppl 6), 2014, doi:10.1186/1471-2105-15-S6-S4
- Clevert, D. A., Mayr, A., Mitterecker, A., Klambauer, G., Valsesia, A., Forner, K., Tuefferd, M., Talloen, W., Wojcik, J., Goehlmann, H., & Hochreiter, S. (2013). Increasing the discovery power of-omics studies. Systems Biomedicine, 1(2), 0-1. Link
- Klambauer, G., Schwarzbauer, K., Mayr, A., Clevert, D. A., Mitterecker, A., Bodenhofer, U., & Hochreiter, S. (2012). cn. MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate. Nucleic Acids Research, 40(9), e69-e69. doi:10.1093/nar/gks003
- Clevert, D. A., Mitterecker, A., Mayr, A., Klambauer, G., Tuefferd, M., De Bondt, A., Talloen, W., Goehlmann, H., & Hochreiter, S. (2011). cn. FARMS: a latent variable model to detect copy number variations in microarray data with a low false discovery rate. Nucleic acids research, 39(12), e79-e79. doi:10.1093/nar/gkr197
- Hochreiter S., Bodenhofer W., Heusel M., A. Mayr A., Mitterecker A., Kasim A., Khamiakova T., Van Sanden S., Lin D., Talloen W., Bijnens L., Goehlmann H., Shkedy Z., & Clevert D.-A., FABIA: Factor Analysis for Bicluster Acquisition, Bioinformatics, 2010, 26(12):1520-7
Teaching Experience
- 2014SS: Unsupervised Techniques for Machine Learning (UE), Lecturer, Johannes Kepler University, Linz, Austria.
Posters
- ISMB 2014, Boston, MA, USA: Detecting biomarkers on label-free mass spectrometry data using biclustering
- ISMB 2013, Berlin, Germany: Detecting rare copy number variations with sparse coding
- ISMB 2012, Long Beach, CA, USA: Detecting rare copy number variations (CNVs) with sparse coding on FF and FFPE